DEV Community: Yodsavee Supachoktanasap

Why Your Frontend Should Not Call Google Sheets Directly

Yodsavee Supachoktanasap — Thu, 14 May 2026 15:23:24 +0000

Google Sheets is great when a product is still changing.

It is fast.
It is familiar.
Non-technical people can edit it.
You do not need to design a full database schema on day one.

For many MVPs, internal tools, client portals, and small SaaS experiments, that flexibility is exactly what makes Google Sheets useful.

But there is one mistake I see often:

Connecting the frontend directly to Google Sheets.

At first, it feels simple.

Your React app fetches rows from a sheet.
Your users see the data.
Your team can edit content without touching code.

Everything feels lightweight.

Until the spreadsheet quietly becomes part of your production architecture.

The problem

Once your frontend depends directly on Google Sheets, your sheet is no longer just a spreadsheet.

It becomes your backend contract.

That is where things start to break.

Columns get renamed.

Tabs move.

Permissions become unclear.

Data types drift.

Someone changes status to Status.

Someone adds a new column in the middle.

Someone deletes a tab because they thought it was unused.

And suddenly your frontend is broken because it was coupled to the spreadsheet structure instead of a stable API contract.

This is the real issue.

Not that Google Sheets is bad.

The issue is that the frontend should not know too much about how the data is stored.

The better boundary

Instead of this:

Google Sheets → Frontend

I prefer this:

Google Sheets → API layer → Frontend

The frontend should not care whether the data comes from Google Sheets, Postgres, MongoDB, Airtable, Supabase, or something else later.

It should care about the API contract.

For example, the frontend should request something like this:

GET /api/products?status=active&limit=20

And receive something predictable:

{
  "data": [
    {
      "id": "prd_001",
      "name": "Starter Plan",
      "status": "active",
      "price": 19
    }
  ],
  "meta": {
    "limit": 20,
    "count": 1
  }
}

The frontend should not need to know:

which spreadsheet tab contains the data
which column index stores the price
whether the source is still Google Sheets
how authentication with Google Sheets works
how to handle spreadsheet-specific errors

That logic belongs behind an API layer.

What the API layer should handle

A good API layer gives your app a safer boundary.

It can handle things like:

authentication
schema detection
CRUD endpoints
pagination
filtering
sorting
field selection
relation expansion
caching
usage limits
permissions
error formatting
future migration

This matters because most MVPs do not fail because they chose the wrong database on day one.

They fail because the product changes faster than the architecture can handle.

An API boundary gives you room to change the backend without constantly breaking the frontend.

Why this matters for MVPs

I do not think every MVP needs Postgres on day one.

Sometimes that is overengineering.

If the product is still being validated, the data model is still changing, and non-technical users need to edit data quickly, Google Sheets can be a very practical starting point.

But that does not mean your frontend should be tightly coupled to it.

There is a middle path:

Start with Sheets.
Expose a stable API.
Move to a real database when the workload deserves it.

That approach lets you move fast without pretending the spreadsheet is your final infrastructure.

The hidden benefit: migration becomes easier

One underrated benefit of an API layer is migration.

If your frontend talks directly to Google Sheets, migrating later means changing frontend logic everywhere.

But if your frontend talks to an API, migration becomes much cleaner.

Today:

Google Sheets → API → Frontend

Later:

Postgres → API → Frontend

The frontend can stay mostly the same because the contract stays the same.

That is the point of the boundary.

You are not just adding an API for today.

You are buying flexibility for tomorrow.

What I’m building

This is the space I am exploring with TarangDB.

TarangDB is my attempt to build the backend layer for teams that start with Google Sheets but need something safer than direct spreadsheet access.

The goal is not to replace Postgres, Supabase, Firebase, or a real production database.

The goal is simpler:

Help teams start with Google Sheets, expose a secure REST API and dashboard, and migrate later when the product actually needs a dedicated database.

In other words:

Google Sheets as the starting point.
API contracts as the boundary.
Real databases when the product is ready.

The question I keep thinking about

Google Sheets is not always the wrong choice.

But direct frontend access usually becomes painful at some point.

So I am curious:

Have you ever connected a frontend directly to Google Sheets, Airtable, or another spreadsheet-like tool?

What broke first?

Was it schema changes, permissions, performance, validation, or migration?

I am building TarangDB in public and looking for feedback from developers, indie hackers, and agencies who have used spreadsheets as an early backend.

The main thing I am trying to learn is:

At what point does Google Sheets stop being “good enough” for your MVP or internal tool?

When should you stop using Google Sheets as your backend?

Yodsavee Supachoktanasap — Thu, 14 May 2026 05:08:04 +0000

When should you stop using Google Sheets as your backend?

In my last post, I wrote about why many MVPs start with Google Sheets.

It is fast, familiar, and easy for non-technical people to update.

But there is an important follow-up question:

When should you stop using Google Sheets as your backend?

Because the answer is not “never use Sheets.”

And it is also not “use Sheets forever.”

Google Sheets can be a great starting point, but it should not become an accidental permanent architecture.

Google Sheets is good when speed matters most

For an early MVP, Google Sheets can be useful because:

the schema is still changing
the product idea is not fully validated yet
non-technical teammates need to edit data
you do not want to build an admin panel too early
you need a quick demo or prototype
the traffic is still low

At this stage, the goal is not perfect infrastructure.

The goal is learning.

Can users understand the product?
Does the workflow make sense?
Is this worth building further?

For that stage, a spreadsheet can be enough.

The warning signs

The problems usually start when the spreadsheet becomes part of a real product workflow.

Here are signs that your Google Sheets setup is reaching its limit.

1. Your frontend needs reliable API access

If your app needs to read data from Sheets regularly, you probably need a proper API layer.

Directly depending on spreadsheet structure can become fragile.

Columns change.
Tabs get renamed.
Data types are inconsistent.
Permissions become unclear.

At this point, the app should not depend directly on the sheet.

It should depend on an API contract.

2. Multiple people need different permissions

Google Sheets permissions are simple, but app permissions are usually more specific.

You may need:

admin access
read-only users
client access
team access
API key access
restricted rows or tables

Once permissions become more detailed, the spreadsheet alone is not enough.

3. Data validation starts breaking

Spreadsheets are flexible.

That is both a strength and a weakness.

Someone can type yes, TRUE, active, or 1 to mean the same thing.

Someone can delete a column.
Someone can leave required fields empty.
Someone can paste malformed data.

If your app depends on clean data, validation needs to move into a more controlled layer.

4. Usage grows beyond simple traffic

Google Sheets is not designed to be a high-performance backend.

For low-to-medium traffic apps, it can work with caching and guardrails.

But if your app needs high request volume, complex queries, transactions, or low latency, it is time to move to a real database.

5. Migration becomes harder every week

This is one of the biggest risks.

A spreadsheet MVP is fine.

But if your app is tightly coupled to spreadsheet-specific logic, migration becomes painful later.

That is why I think the frontend should talk to an API, not directly to the sheet.

Today, the API can be powered by Google Sheets.

Later, it can be powered by Postgres or another database.

The API contract gives you a cleaner migration path.

A simple rule

Here is how I think about it:

Use Google Sheets when you are still validating the workflow.

Move beyond Sheets when reliability, permissions, performance, or data integrity become more important than speed.

In other words:

Google Sheets is great for learning.
A real database is better for scaling.
An API layer helps bridge the two.

The middle stage

The interesting part is the middle stage.

This is where many MVPs, internal tools, and client portals live.

They are not just prototypes anymore.

But they also do not need complex infrastructure yet.

They need:

a REST API
a dashboard
API keys
permissions
caching
usage limits
validation
a future migration path

That is the stage I’m building for with TarangDB.

The idea is not to replace Postgres, Supabase, Firebase, or a real database.

The idea is to make the early stage smoother:

Start with Google Sheets.
Add a backend layer around it.
Ship faster.
Move to a real database when the product actually needs it.

My current thinking

Google Sheets should not be treated as the final backend for every product.

But it also should not be dismissed too early.

For many teams, it is the fastest way to start.

The important thing is to avoid getting trapped.

A spreadsheet can be the starting point.

The API contract should be the bridge.

The database can come later.

Question for builders

Have you ever used Google Sheets, Airtable, or a spreadsheet-like tool as the backend for an MVP or internal tool?

What made you stop using it?

Was it:

permissions
performance
data validation
API access
collaboration
migration
something else?

Quick demo

Here is a short demo of the idea:

I’d love to hear real examples.

I’m building a backend layer for Google Sheets

Yodsavee Supachoktanasap — Wed, 13 May 2026 08:59:12 +0000

I’m building a backend layer for Google Sheets

A lot of MVPs do not start with PostgreSQL, MongoDB, Firebase, or a carefully designed backend architecture.

They start with a spreadsheet.

That might sound messy, but it makes sense.

Google Sheets is fast.
Everyone knows how to use it.
Non-technical teammates can update data directly.
Clients can manage their own content.
Founders can validate an idea before spending weeks on infrastructure.

For many early products, Google Sheets is not the “best database.”

It is the fastest starting point.

But the problem starts when the product grows even a little.

The common pattern

I kept seeing the same workflow:

Google Sheet → MVP → frontend needs data → build custom API → build admin dashboard → add auth → add permissions → add guardrails

At the beginning, the spreadsheet is enough.

But then the product needs:

a REST API
a dashboard
API keys
access control
validation
usage limits
relations between sheets
a way to migrate later

At that point, teams often rebuild the same backend plumbing again and again.

Not because the product idea needs complex infrastructure yet.

But because there is no clean bridge between “spreadsheet” and “real backend.”

That gap is what I wanted to explore.

Why Google Sheets keeps showing up

Google Sheets is not popular because it is technically perfect.

It is popular because it matches how people actually work.

A founder can edit product data.
An agency can hand a client a familiar interface.
An operations team can maintain a catalog or CRM.
A developer can prototype without creating a full admin panel.

For early-stage products, that matters.

The real issue is not that people use Sheets.

The issue is that once an app depends on that data, the spreadsheet needs a safer interface around it.

Directly connecting an app to a sheet is fragile.

You usually need a layer that handles:

authentication
API structure
rate limits
caching
permissions
schema detection
dashboard access
migration paths

That is the layer I’m building with TarangDB.

What TarangDB does

TarangDB turns Google Sheets into a secure REST API and dashboard.

The basic flow is:

Google Sheet → TarangDB → REST API + Dashboard → MVP / Internal Tool / Client Portal

Instead of building backend boilerplate from scratch, you can connect a sheet and get:

auto-generated REST endpoints
a CRUD dashboard
API-key protected access
usage limits and guardrails
caching
row-level security
relations across sheets
a path to migrate later

The goal is not to replace every database.

TarangDB is for the stage where speed matters more than perfect infrastructure.

When you are validating an idea, building a client portal, creating an internal tool, or shipping an MVP, you often just need something that works quickly and safely enough.

Example use cases

Some examples where this can be useful:

MVP backend

You have a simple SaaS idea and need a quick backend for early users.

The data model is still changing, and setting up a full database feels too early.

Client portal

An agency builds a portal for a client, but the client wants to manage data in a familiar tool.

The client updates Google Sheets.
The app consumes a controlled API.

Product catalog

A small business already manages products in Sheets.

TarangDB can expose that catalog through an API and dashboard without replacing their workflow immediately.

Internal tool

A team needs a lightweight dashboard for ops, inventory, leads, tasks, or reports.

They do not want to build backend infrastructure just to manage simple operational data.

Public read-only dashboard

Some data needs to be shown publicly, but the raw spreadsheet should not be exposed.

A controlled API or dashboard layer makes that safer.

What TarangDB is not trying to be

I do not think Google Sheets should replace PostgreSQL.

I do not think every serious product should run on spreadsheets forever.

And I do not think every workload belongs in Sheets.

TarangDB is not for:

high-frequency systems
complex transactional workloads
large-scale social networks
mission-critical database systems
ultra-low-latency applications

The idea is different:

Start simple.
Ship faster.
Validate the workflow.
Move to a real database when the product actually needs it.

In other words, Sheets can be the starting point, not the final architecture.

The migration problem

One reason teams hesitate to use spreadsheets early is fear of lock-in.

That is fair.

If the app is tightly coupled to the spreadsheet, migration becomes painful.

So one of the ideas behind TarangDB is to keep a stable API contract.

Your frontend talks to an API.

Today, the source can be Google Sheets.

Later, the source can be Postgres or another database.

That makes the spreadsheet a temporary backend source, not a permanent architectural trap.

Why I’m building this

I picked this idea because it solves a practical workflow problem.

Many early products already start with spreadsheets.

But once they need to become real apps, teams have to choose between two imperfect options:

keep hacking around the spreadsheet
rebuild everything too early

I want TarangDB to sit in the middle.

Keep the speed and familiarity of Google Sheets.
Add the backend layer developers actually need.
Give teams a cleaner path to grow later.

Current status

TarangDB is currently in public beta.

I’m focusing on:

improving onboarding
making API generation smoother
strengthening dashboard workflows
adding practical guardrails
learning from developers, indie makers, and agencies

The product is especially built for MVPs, internal tools, client portals, agency projects, and low-to-medium traffic apps.

Feedback I’m looking for

I would love feedback from anyone who has used Google Sheets as an early backend or data source.

A few questions I’m thinking about:

Have you used Google Sheets or Airtable as the first database for an MVP?
What broke first: API access, permissions, performance, validation, or migration?
Would you rather use this as a developer tool, an agency tool, or an internal tool builder?
At what point would you move from Sheets to Postgres?

You can check it out here:

tarangdb.com

I’d love to hear what you think.